BRÁZDIL, Tomáš, Chatterjee KRISHNENDU, Vojtěch FOREJT a Antonín KUČERA. MultiGain: A Controller Synthesis Tool for MDPs with Multiple Mean-Payoff Objectives. In Christel Baier, Cesare Tinelli. Tools and Algorithms for the Construction and Analysis of Systems - 21st International Conference, TACAS 2015, Held as Part of the European Joint Conferences on Theory and Practice of Software, ETAPS 2015, London, UK, April 11-18, 2015. Proceedings. Heidelberg: Springer, 2015, s. 181-187. ISBN 978-3-662-46680-3. Dostupné z: https://dx.doi.org/10.1007/978-3-662-46681-0_12. |
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@inproceedings{1323105, author = {Brázdil, Tomáš and Krishnendu, Chatterjee and Forejt, Vojtěch and Kučera, Antonín}, address = {Heidelberg}, booktitle = {Tools and Algorithms for the Construction and Analysis of Systems - 21st International Conference, TACAS 2015, Held as Part of the European Joint Conferences on Theory and Practice of Software, ETAPS 2015, London, UK, April 11-18, 2015. Proceedings.}, doi = {http://dx.doi.org/10.1007/978-3-662-46681-0_12}, editor = {Christel Baier, Cesare Tinelli}, keywords = {Markov decision processes; mean-payoff reward; multi-objective optimisation; formal verification}, howpublished = {tištěná verze "print"}, language = {eng}, location = {Heidelberg}, isbn = {978-3-662-46680-3}, pages = {181-187}, publisher = {Springer}, title = {MultiGain: A Controller Synthesis Tool for MDPs with Multiple Mean-Payoff Objectives}, year = {2015} }
TY - JOUR ID - 1323105 AU - Brázdil, Tomáš - Krishnendu, Chatterjee - Forejt, Vojtěch - Kučera, Antonín PY - 2015 TI - MultiGain: A Controller Synthesis Tool for MDPs with Multiple Mean-Payoff Objectives PB - Springer CY - Heidelberg SN - 9783662466803 KW - Markov decision processes KW - mean-payoff reward KW - multi-objective optimisation KW - formal verification N2 - We present MultiGain, a tool to synthesize strategies for Markov decision processes (MDPs) with multiple mean-payoff objectives. Our models are described in PRISM, and our tool uses the existing interface and simulator of PRISM. Our tool extends PRISM by adding novel algorithms for multiple mean-payoff objectives, and also provides features such as (i) generating strategies and exploring them for simulation, and checking them with respect to other properties; and (ii) generating an approximate Pareto curve for two mean-payoff objectives. In addition, we present a new practical algorithm for the analysis of MDPs with multiple mean-payoff objectives under memoryless strategies. ER -
BRÁZDIL, Tomáš, Chatterjee KRISHNENDU, Vojtěch FOREJT a Antonín KUČERA. MultiGain: A Controller Synthesis Tool for MDPs with Multiple Mean-Payoff Objectives. In Christel Baier, Cesare Tinelli. \textit{Tools and Algorithms for the Construction and Analysis of Systems - 21st International Conference, TACAS 2015, Held as Part of the European Joint Conferences on Theory and Practice of Software, ETAPS 2015, London, UK, April 11-18, 2015. Proceedings.}. Heidelberg: Springer, 2015, s.~181-187. ISBN~978-3-662-46680-3. Dostupné z: https://dx.doi.org/10.1007/978-3-662-46681-0\_{}12.
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